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DEBU
2006
163views more  DEBU 2006»
13 years 8 months ago
Towards Activity Databases: Using Sensors and Statistical Models to Summarize People's Lives
Automated reasoning about human behavior is a central goal of artificial intelligence. In order to engage and intervene in a meaningful way, an intelligent system must be able to ...
Tanzeem Choudhury, Matthai Philipose, Danny Wyatt,...
ICDCS
2009
IEEE
14 years 5 months ago
CLIQUE: Role-Free Clustering with Q-Learning for Wireless Sensor Networks
Clustering and aggregation inherently increase wireless sensor network (WSN) lifetime by collecting information within a cluster at a cluster head, reducing the amount of data thr...
Anna Förster, Amy L. Murphy
KDD
1998
ACM
190views Data Mining» more  KDD 1998»
14 years 27 days ago
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
R. Bharat Rao, Scott Rickard, Frans Coetzee
MDM
2007
Springer
14 years 2 months ago
The MicroPulse Framework for Adaptive Waking Windows in Sensor Networks
Abstract—In this paper we present MicroPulse, a novel framework for adapting the waking window of a sensing device S based on the data workload incurred by a query Q. Assuming a ...
Demetrios Zeinalipour-Yazti, Panayiotis Andreou, P...
ESCIENCE
2005
IEEE
14 years 2 months ago
Sensor Networks and Grid Middleware for Laboratory Monitoring
By combining automatic environment sensing and experimental data collection with broker based messaging middleware, a system has been produced for the real-time monitoring of expe...
Jamie M. Robinson, Jeremy G. Frey, Andy J. Stanfor...